• 💼 AI/GenAI Engineer with 3.8+ years of experience building enterprise-grade AI systems, scalable backend applications, and cloud-native data platforms.
• 🤖 Specialized in Generative AI, LangChain, LangGraph, Multi-Agent Systems, Vector Databases, Prompt Engineering, and Enterprise AI Solutions.
• 🚀 Currently working with LLMs, RAG, Agentic AI, FastAPI, React.js, MongoDB, Redis, BigQuery, Azure Databricks, PySpark, GCP, Azure, and AWS.
• 📊 Experienced in designing ETL/ELT Pipelines, Event-Driven Architectures, Microservices, and Data Engineering Solutions.
• 🌐 Strong Full-Stack Development experience with React.js, Redux, TypeScript, Tailwind CSS, and Material UI.
• ☁️ Hands-on experience with GCP Pub/Sub, BigQuery, Cloud Functions, Azure Data Factory, Azure Databricks, and Cloud-Native Architectures.
• 👨‍🏫 Technical Mentor, mentoring engineers in Python, AI, and Backend Development.
• 🌱 Currently exploring Advanced Agentic AI, Multi-Agent Workflows, AI Evaluation Frameworks, and Enterprise AI Architectures.
• 🤝 Open to collaborating on AI/GenAI, Data Engineering, Backend Development, Cloud Computing, and Open Source Projects.

LLMs • LangChain • LangGraph • RAG • Agentic AI • OpenAI • Anthropic • Hugging Face • Vector Databases • Prompt Engineering • LoRA • QLoRA • RAGAS

FastAPI • Flask • Django • DRF • Node.js • REST APIs • Microservices • Event-Driven Architecture

React.js • Redux • TypeScript • JavaScript • Tailwind CSS • Material UI • HTML5 • CSS3

Azure Data Factory • Azure Databricks • PySpark • ETL/ELT Pipelines • Data Lakes • BigQuery • Data Modeling

MongoDB • Redis • MySQL • SQL Server

GCP • Azure • AWS • Docker • CI/CD • Pub/Sub • Apigee • Cloud IDS • Git

• 🎓 Databricks Certified Generative AI Engineer Associate
• 🎓 Databricks Certified Data Engineer Professional